Step by Step Guide on Converting Text to High-Quality Audio Using an Open Source TTS Model on Hugging Face: Including Detailed Audio File Analysis and Diagnostic Tools in Python
In this tutorial, we demonstrate a complete end-to-end solution to convert text into audio using an open-source text-to-speech (TTS) model available on Hugging Face. Leveraging the capabilities of the Coqui…
Moonsight AI Released Kimi-VL: A Compact and Powerful Vision-Language Model Series Redefining Multimodal Reasoning, Long-Context Understanding, and High-Resolution Visual Processing
Multimodal AI enables machines to process and reason across various input formats, such as images, text, videos, and complex documents. This domain has seen increased interest as traditional language models,…
Google AI Introduce the Articulate Medical Intelligence Explorer (AMIE): A Large Language Model Optimized for Diagnostic Reasoning, and Evaluate its Ability to Generate a Differential Diagnosis
Developing an accurate differential diagnosis (DDx) is a fundamental part of medical care, typically achieved through a step-by-step process that integrates patient history, physical exams, and diagnostic tests. With the…
Step by Step Coding Guide to Build a Neural Collaborative Filtering (NCF) Recommendation System with PyTorch
This tutorial will walk you through using PyTorch to implement a Neural Collaborative Filtering (NCF) recommendation system. NCF extends traditional matrix factorisation by using neural networks to model complex user-item…
Allen Institute for AI (Ai2) Launches OLMoTrace: Real-Time Tracing of LLM Outputs Back to Training Data
Understanding the Limits of Language Model Transparency As large language models (LLMs) become central to a growing number of applications—ranging from enterprise decision support to education and scientific research—the need…
This AI Paper from Salesforce Introduces VLM2VEC and MMEB: A Contrastive Framework and Benchmark for Universal Multimodal Embeddings
Multimodal embeddings combine visual and textual data into a single representational space, enabling systems to understand and relate images and language meaningfully. These embeddings support various tasks, including visual question…
Can LLMs Debug Like Humans? Microsoft Introduces Debug-Gym for AI Coding Agents
The Debugging Problem in AI Coding Tools Despite significant progress in code generation and completion, AI coding tools continue to face challenges in debugging—an integral part of software development. While…
LLMs No Longer Require Powerful Servers: Researchers from MIT, KAUST, ISTA, and Yandex Introduce a New AI Approach to Rapidly Compress Large Language Models without a Significant Loss of Quality
HIGGS — the innovative method for compressing large language models was developed in collaboration with teams at Yandex Research, MIT, KAUST and ISTA. HIGGS makes it possible to compress LLMs…
Defending against Prompt Injection with Structured Queries (StruQ) and Preference Optimization (SecAlign)
Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. Prompt injection attack is listed as the #1…
Together AI Released DeepCoder-14B-Preview: A Fully Open-Source Code Reasoning Model That Rivals o3-Mini With Just 14B Parameters
The demand for intelligent code generation and automated programming solutions has intensified, fueled by a rapid rise in software complexity and developer productivity needs. While natural language processing and general…















